




'''simple docstring'''







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_camembert import CamembertTokenizer
else:
    lowerCAmelCase_     						=				None


lowerCAmelCase_     						=				logging.get_logger(__name__)

lowerCAmelCase_     						=				{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_     						=				{
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/tokenizer.json''',
    },
}

lowerCAmelCase_     						=				{
    '''camembert-base''': 5_1_2,
}

lowerCAmelCase_     						=				'''▁'''

class 	_snake_case(			UpperCAmelCase      ):
 __snake_case:							str						=					VOCAB_FILES_NAMES
 __snake_case:							int						=					PRETRAINED_VOCAB_FILES_MAP
 __snake_case:							Optional[int]						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __snake_case:							List[str]						=					['''input_ids''', '''attention_mask''']
 __snake_case:							str						=					CamembertTokenizer






 def __init__(self       :  str    ,		a       :  Optional[int]=None    ,		a       :  List[Any]=None    ,		a       :  List[Any]="<s>"    ,		a       :  Optional[int]="</s>"    ,		a       :  List[Any]="</s>"    ,		a       :  int="<s>"    ,		a       :  Tuple="<unk>"    ,		a       :  Tuple="<pad>"    ,		a       :  List[str]="<mask>"    ,		a       :  Tuple=["<s>NOTUSED", "</s>NOTUSED"]    ,		**a       :  Optional[int]    ,		)       ->   Union[str, Any]:






    """simple docstring"""


    A__       =     AddedToken(a    ,		lstrip=a    ,		rstrip=a    ) if isinstance(a    ,		a    ) else mask_token

    super().__init__(
        a    ,		tokenizer_file=a    ,		bos_token=a    ,		eos_token=a    ,		sep_token=a    ,		cls_token=a    ,		unk_token=a    ,		pad_token=a    ,		mask_token=a    ,		additional_special_tokens=a    ,		**a    ,		)

    A__       =     vocab_file
    A__       =     False if not self.vocab_file else True






 def 						_UpperCamelCase (self       :  Union[str, Any]    ,		a       :  List[int]    ,		a       :  Optional[List[int]] = None    )       ->   List[int]:






    """simple docstring"""


    if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    A__       =     [self.cls_token_id]
    A__       =     [self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep






 def 						_UpperCamelCase (self       :  Optional[Any]    ,		a       :  List[int]    ,		a       :  Optional[List[int]] = None    )       ->   List[int]:






    """simple docstring"""


    A__       =     [self.sep_token_id]
    A__       =     [self.cls_token_id]

    if token_ids_a is None:
       return len(cls + token_ids_a + sep    ) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]






 def 						_UpperCamelCase (self       :  Optional[Any]    ,		a       :  str    ,		a       :  Optional[str] = None    )       ->   Tuple[str]:






    """simple docstring"""


    if not self.can_save_slow_tokenizer:
       raise ValueError(
           'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
           'tokenizer.'    )

    if not os.path.isdir(a    ):
       logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""    )
       return
    A__       =     os.path.join(
        a    ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )

    if os.path.abspath(self.vocab_file    ) != os.path.abspath(a    ):
       copyfile(self.vocab_file    ,		a    )

    return (out_vocab_file,)








'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCAmelCase_     						=				{}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_     						=				['''GPTSw3Tokenizer''']


if TYPE_CHECKING:
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_gpt_swa import GPTSwaTokenizer

else:
    import sys

    lowerCAmelCase_     						=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


